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Paper Citation Record · LEDGER

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2303.17568.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.17568 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:58:35.261560Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

49
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f93e0f14-89a0-488a-8a34-eedab97a0b98 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:46:39.775840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:ad4f56e7a7b263b2087333ce8b184d2967876914bf3507013456d827b8a32d2d

Observation d065e01f-19e0-4044-a0f1-5b1be68a83b1 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-14T02:04:18.031433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T02:04:17.888553Z digest=sha256:6588f1d6d2d0f5e42318fb50f736fe50e4426472f364e4b26a4ae05dde465c60

Observation 04507529-70ca-4c4e-a0c4-85a9db43ce7e · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 117

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.007048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:2db4a2e2878e6c5db3e440940f86837ef5f504995e6a97f6696783693af9602b

Observation b7dae65b-d8e4-4575-9b24-3a8b85f8e533 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 125

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.695905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:df5085f399ffa7e0c42bba741be31c790b7ce6f17e072bd2a19fa3cbe2d9ec1a

Observation 615dda3d-5b72-47ec-a7b5-da367c2a3282 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:58:46.067468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:a751d6c4f16e8d767dcc8114e33ee66c4d0aff300eb3545df563fde7b75f4694

Observation f78f4180-8c86-4dfb-8204-a3ef2c0453f2 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:58:51.203859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:0e931d208b5cfc050afbc195fbf2ee0d85e08d154402d788b1b7806be39e5919

Observation 73d93d06-a648-47b3-8478-e5e2a518181f · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.075136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:1c0e4a01e47077c679048f7505d4b3c3e46d629a00cde8f0d81d700c1b8ab29a

Observation b3384844-8f67-486d-ad56-efb27ab5d3d7 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 205

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.372449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ad75b78b33aca848c54d40edb959ffa7efa737f70d9c827636d923100432fbbf

Observation 5c36900a-5727-4e5f-b213-81ae0a213f92 · inbound

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? cites this paper.

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T07:35:28.773804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T07:35:19.736921Z digest=sha256:c1f58a66f6d774fa22f0067c71529480f86b96e10aeb44a72c0cb21898541fac

Observation b6cbc026-d020-4b52-a469-632090044c98 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-08T04:58:35.261560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:35.261560Z digest=sha256:7b88de21b3049df03508c10cf7da5836b96343004dfe00fb33013e027f49f69b

Observation 68622de2-5562-46cb-9fe5-d4aa21a2da9c · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:16.485186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:16.485186Z digest=sha256:6126520fcbb9e130e16c624acbe5161d378f030eaa6d093866292f353bd50fe0

Observation 19be7a68-208f-49fa-9f69-19f6108d4d59 · inbound

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs cites this paper.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.249678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.249678Z digest=sha256:4d1e90d3166c7f6ab634a84000a638d2ae0a20d939a15413fa0ad1b995150865

Observation 5173f544-2ac3-44fa-9e15-a7a266c88689 · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.418661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.418661Z digest=sha256:6d02098c0f1cd171770f88eba86333f7ca74961ac38890f9891cc9c61d246733

Observation 6abd49ee-0133-4fa2-b114-69199cf0e504 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:16.138639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:51:16.138639Z digest=sha256:2854499b4d4adcfb9636a0bebe0a72b345262812ab2d770e56dafa321a331545

Observation a9ef152c-9914-4a89-a86e-a22ec9ff58da · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:40.074446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:40.074446Z digest=sha256:e0ffee9f4adfd1b797b7249b736c23fd6313ef563da5cca939602f6fe3c0d59b

Observation 1bfffdb6-8dca-431d-b1e4-4cc7a15ee911 · inbound

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization cites this paper.

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:25.838845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:25.838845Z digest=sha256:4b0bf18e6525a64780ec6a74605bc193207642162a70ac411c0561b3da4b39e8

Observation 24f2632e-afde-4644-8b01-1bd1ab66a51b · inbound

Enhancing Project-Specific Code Completion by Inferring Internal API Information cites this paper.

Enhancing Project-Specific Code Completion by Inferring Internal API Information CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T13:16:49.123952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:16:49.123952Z digest=sha256:57de95123f4d48434f259b86e3215c67f720e9d4ee0ded18480fae55186b0c87

Observation 509c10e8-28c6-4bcf-8dbc-b00e2bb83aec · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.148774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.148774Z digest=sha256:8df8b630ed38c5f2234e03b23799fd9834ad01c15c42dab9142508a8dfaf9918

Observation c3088ef7-f2f7-4f9a-a72f-2dd125a90124 · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:36:08.539242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T19:34:51.433422Z digest=sha256:6e512c76c086a17aca5b33cb700a985ff297273dff99ff1168d5826fad39daee

Observation c3e50391-24c3-434d-bf5e-0fa6249124ff · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:37:01.729818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:27:11.573347Z digest=sha256:c0bb2759cd5273600184682932ce34e930e29f7fdb5dc782923ab2487dbf1faa

Observation 1a43b0bd-2abc-460e-a5f7-7e7be53f3465 · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.785333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:55:49.377456Z digest=sha256:d53b62831e5b006bbd01944aa1e6b0cdffe376b852a7acc87ca1962ae3117b38

Observation 9f8ab754-945b-4299-af38-4f214b18e129 · inbound

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback cites this paper.

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T09:23:10.559050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T09:22:06.285118Z digest=sha256:57ad9b9baef18216a9a1a1c43647c9c777c3546c96b889cba6527250484318f6

Observation dd28e6fe-3195-44a6-a0d4-5b6059b0031b · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 290

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T16:23:39.165685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:1290e61039131a6009ed2e93f91c27c5a62806d78ba8f8fc93edffbf776c778b

Observation e6d8f4ec-e61b-45d0-880c-d29dd31b0e25 · inbound

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations cites this paper.

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:48:05.314788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:19:50.169338Z digest=sha256:a40061db5ab61f4b3540f637e5a07c6faa0a7612e8abf74cb30770b42a6b85b2

Observation c5a6d16a-2a7e-4276-80d0-d623a0b0646c · inbound

Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.

Surveying GenAI-based Automation in Printed Circuit Board Design and Test CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T08:20:45.317790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T08:13:14.791508Z digest=sha256:76a12fe3b006cba6dd54df5aaa42f443993f2b2a9dcbd688c77f106b829dcbe4

Observation e12ff7b2-d8b4-43aa-8b98-e3b5955610eb · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.877578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:59:00.304723Z digest=sha256:600f96ecffce57aa8ed51e82ad7968e1d26066e2f407c48205a365af2ed73bbc